Searching databases to find protein domain organization.
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Biomedical subjects
Publications and source records attributed to E Birney.
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MOTIVATION: InterPro is a new integrated documentation resource for protein families, domains and functional sites, developed initially as a means of rationalising the complementary efforts of the PROSITE, PRINTS, Pfam and ProDom database projects. RESULTS: Merged annotations from PRINTS, PROSITE and Pfam form the InterPro core. Each combined InterPro entry includes functional descriptions and literature references, and links are made back to the relevant parent database(s), allowing users to see at a glance whether a particular family or domain has associated patterns, profiles, fingerprints, etc. Merged and individual entries (i.e. those that have no counterpart in the companion resources) are assigned unique accession numbers. Release 1.2 of InterPro (June 2000) contains over 3000 entries, representing families, domains, repeats and sites of post-translational modification (PTMs) encoded by 6581 different regular expressions, profiles, fingerprints and Hidden Markov Models (HMMs). Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (more than 1000000 hits from 264333 different proteins out of 384572 in SWISS-PROT and TrEMBL).
MOTIVATION: An automatic sequence searching method (ProtEST) is described which constructs multiple protein sequence alignments from protein sequences and translated expressed sequence tags (ESTs). ProtEST is more effective than a simple TBLASTN search of the query against the EST database, as the sequences are automatically clustered, assembled, made non-redundant, checked for sequence errors, translated into protein and then aligned and displayed. RESULTS: A ProtEST search found a non-redundant, translated, error- and length-corrected EST sequence for > 58% of sequences when single sequences from 1407 Pfam-A seed alignments were used as the probe. The average family size of the resulting alignments of translated EST sequences contained > 10 sequences. In a cross-validated test of protein secondary structure prediction, alignments from the new procedure led to an improvement of 3.4% average Q3 prediction accuracy over single sequences. AVAILABILITY: The ProtEST method is available as an Internet World Wide Web service http://barton.ebi.ac.uk/servers/protest.html+ ++ The Wise2 package for protein and genomic comparisons and the ProtESTWise script can be found at http://www.sanger.ac.uk/Software/Wise2 CONTACT: geoff@ebi.ac.uk
The GeneWise method for combining gene prediction and homology searches was applied to the 2.9-Mb region from Drosophila melanogaster. The results from the Genome Annotation Assessment Project (GASP) showed that GeneWise provided reasonably accurate gene predictions. Further investigation indicates that many of the incorrect gene predictions from GeneWise were due to transposons with valid protein-coding genes and the remaining cases are pseudogenes or possible annotation oversights.
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Pfam is a collection of multiple alignments and profile hidden Markov models of protein domain families. Release 3.1 is a major update of the Pfam database and contains 1313 families which are available on the World Wide Web in Europe at http://www.sanger.ac.uk/Software/Pfam/ and http://www.cgr.ki.se/Pfam/, and in the US at http://pfam.wustl.edu/. Over 54% of proteins in SWISS-PROT-35 and SP-TrEMBL-5 match a Pfam family. The primary changes of Pfam since release 2.1 are that we now use the more advanced version 2 of the HMMER software, which is more sensitive and provides expectation values for matches, and that it now includes proteins from both SP-TrEMBL and SWISS-PROT.
A data set of 77 genomic mouse/human gene pairs has been compiled from the EMBL nucleotide database, and their corresponding features determined. This set was used to analyze the degree of conservation of noncoding sequences between mouse and human. A new alignment algorithm was developed to cope with the fact that large parts of noncoding sequences are not alignable in a meaningful way because of genetic drift. This new algorithm, DNA Block Aligner (DBA), finds colinear-conserved blocks that are flanked by nonconserved sequences of varying lengths. The noncoding regions of the data set were aligned with DBA. The proportion of the noncoding regions covered by blocks >60% identical was 36% for upstream regions, 50% for 5' UTRs, 23% for introns, and 56% for 3' UTRs. These blocks of high identity were more or less evenly distributed across the length of the features, except for upstream regions in which the first 100 bp upstream of the transcription start site was covered in up to 70% of the gene pairs. This data set complements earlier sets on the basis of cDNA sequences and will be useful for further comparative studies. [This paper contains supplementary data that can be found at http://www.genome.org [corrected]].
Pfam contains multiple alignments and hidden Markov model based profiles (HMM-profiles) of complete protein domains. The definition of domain boundaries, family members and alignment is done semi-automatically based on expert knowledge, sequence similarity, other protein family databases and the ability of HMM-profiles to correctly identify and align the members. Release 2.0 of Pfam contains 527 manually verified families which are available for browsing and on-line searching via the World Wide Web in the UK at http://www.sanger.ac.uk/Pfam/ and in the US at http://genome.wustl. edu/Pfam/ Pfam 2.0 matches one or more domains in 50% of Swissprot-34 sequences, and 25% of a large sample of predicted proteins from the Caenorhabditis elegans genome.
SUMMARY: We present a set of Perl modules for the flexible and robust parsing and editing of EMBL/SWISS-PROT databases. AVAILABILITY: The Web page at http://www.sanger.ac. uk/Software/PerlModule/ provides information about downloading the SPEM and PrEMBL modules, and provides links to documentation and example code.
We have developed a code generating language, called Dynamite, specialised for the production and subsequent manipulation of complex dynamic programming methods for biological sequence comparison. From a relatively simple text definition file Dynamite will produce a variety of implementations of a dynamic programming method, including database searches and linear space alignments. The speed of the generated code is comparable to hand written code, and the additional flexibility has proved invaluable in designing and testing new algorithms. An innovation is a flexible labelling system, which can be used to annotate the original sequences with biological information. We illustrate the Dynamite syntax and flexibility by showing definitions for dynamic programming routines (i) to align two protein sequences under the assumption that they are both poly-topic transmembrane proteins, with the simultaneous assignment of transmembrane helices and (ii) to align protein information to genomic DNA, allowing for introns and sequencing error.
DNA translation frames can be disrupted for several reasons, including: (i) errors in sequence determination; (ii) RNA processing, such as intron removal and guide RNA editing; (iii) less commonly, polymerase frameshifting during transcription or ribosomal frameshifting during translation. Frameshifts frequently confound computational activities involving homologous sequences, such as database searches and inferences on structure, function or phylogeny made from multiple alignments. A dynamic alignment algorithm is reported here which compares a protein profile (a residue scoring matrix for one or more aligned sequences) against the three translation frames of a DNA strand, allowing frameshifting. The algorithm has been incorporated into a new package, WiseTools, for comparison of biological sequences. A protein profile can be compared against either a DNA sequence or a protein sequence. The program PairWise may be used interactively for alignment of any two sequence inputs. SearchWise can perform combinations of searches through DNA or protein databases by a protein profile or DNA sequence. Routine application of the programs has revealed a set of database entries with frameshifts caused by errors in sequence determination.
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We present a systematic analysis of sequence motifs found in metazoan protein factors involved in constitutive pre-mRNA splicing and in alternative splicing regulation. Using profile analysis we constructed a database enriched in protein sequences containing one or more presumptive copies of the RNA-recognition motif (RRM). We provide an accurate alignment of RRMs and structure-based criteria for identifying new RRMs, including many that lack the prototype RNP-1 submotif. We present a comprehensive table of 125 sequences containing 252 RRMs, including 22 previously unreported RRMs in 17 proteins. The presence of a putative RRM in these proteins, which are implicated in a variety of cellular processes, strongly suggests that their function involves binding to RNA. Unreported homologies in the RRM-enriched database to the metazoan SR family of splicing factors are described for an Arg-rich human nuclear protein and two yeast proteins (S. pombe mei2 and S. cerevisiae Npl3). We have rigorously tested the phylogenetic relationships of a large sample of RRMs. This analysis indicates that the RRM is an ancient conserved region (ACR) that has diversified by duplication of genes and intragenic domains. Statistical analyses and classification of repeated Arg-Ser (RS) and RGG domains in various protein splicing factors are presented.
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